• A Deep Learning-Based Waste Classification Using Ensemble and Vision Transformer Models 

  Ahmmed, Sayem; Tasnim, Zarrin (Daffodil International University, 2025-05-14)

  This research presents a deep learning approach for waste categorization using three pre-trained models such as MobileNetV2, DenseNet121, and ResNet50, a transformer model (Vision Transformer or ViT), and an ensemble ...
• Efficient Jute Disease Classification Using Hybrid Deep Learning Model 

  Rahman, Md. Waysur (Daffodil International University, 2025-05-14)

  Jute, being one of the most important economic crops in South Asia, is greatly impacted by leaf diseases such as Cercosporin Leaf Spot and Golden Mosaic, which traditional diagnosis tools are not well-equipped to address. ...
• Enhancing Rice Plant Disease Detection: A Classification Approach with Transfer Learning 

  Mishu, Mrinmoy Saha (Daffodil International University, 2025-05-14)

  Rice is the dominant crop of Bangladesh. Yet, every year a large number of crops are affected by the disease. Conventional detection of rice plant disease in the lab is timeconsuming and involves a lot of time. It leads ...
• Exploration of Anemia in Hematology Patients: Using Artificial Intelligence Present and Future Perspective 

  Hasan, Mahamudul (Daffodil International University, 2025-05-14)

  Anemia is a public health disease that reflects the lack of red blood cells or hemoglobin to carry the requisite amount of oxygen to the body, causing weakness, fatigue, and diminished cognition. It is a gigantic public ...
• Analyzing the Effects of Caffeine on Brain Networks Using Spatiotemporal Graph Neural Network 

  Naim, Md. Mehedi Hasan; Islam, Md. Shafiul (Daffodil International University, 2025-05-14)

  Caffeine is recognized for improving cognitive processes including attention and alertness. Yet, its impact on brain connections is still inadequately investigated. This this thesis examines the impact of coffee on brain ...

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